Conference proceeding
DISCOVERING AND SHARING EXPERIENTIAL KNOWLEDGE THROUGH ACTIVE MINING AND FRIENDLY DELIVERY: A DESIGN OF EKDSS
PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, pp.570-575
01/01/2008
Abstract
As a nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable experiences and best practices, discovering experiential knowledge is of significant value. And as a transfer of experiential knowledge via channels and interactions between relevant people, sharing experiential knowledge is also very important. To build an effective experiential knowledge discovering and sharing system is necessary for a firm to substantially improve its decision processes and thereby its performance in a knowledge-based economy. In this study, we design an experiential knowledge discovering and sharing system (EKDSS), in which active mining and friendly delivery are two focuses. Active mining is performed by the professional knowledge management workers at an experiential knowledge center through a monitored project management process and a required reporting procedure. Friendly delivery is carried out by the same staff through a monitored distribution process and a required planning procedure. We address the application of EKDSS. Hopefully, this system will significantly improve experiential knowledge discovering and sharing. We also point out some directions for further work.
Details
- Title: Subtitle
- DISCOVERING AND SHARING EXPERIENTIAL KNOWLEDGE THROUGH ACTIVE MINING AND FRIENDLY DELIVERY: A DESIGN OF EKDSS
- Creators
- Shizhong Ai - Xidian UniversityRong Du - Xidian UniversityWeiguo Fan
- Contributors
- G P Xia (Editor)X Q Deng (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, pp.570-575
- Publisher
- Publishing House Electronics Industry
- Number of pages
- 6
- Language
- English
- Date published
- 01/01/2008
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380509302771
Metrics
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